Predictive learning systems for intelligent cars from “Cloud Made”

Powerful distributed machine learning architecture with modular, extensible inference engines


images and contents property of CLOUDMADE

Predictive Learning System

The Predictive Learning System is a contextual awareness engine that makes cars smarter and drivers happier, safer and more loyal.

Some key use cases that the Predictive Learning System enables include:

  • Streamlined interfaces that predict the driver’s next destination, maneuver or route
  • Interfaces that learn the driver’s preferences and habits
  • Personalized, contextually relevant search results
  • Safer driving with integration into ADAS
  • Adaptive displays that manage information flow to drivers ensuring they stay focused on the road.
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Driver Loyalty

Cars with CloudMade’s Predictive Learning System feel particularly personal to their driver. They know the driver’s next destination recommend their preferred route or their driving style. They react to adverse road conditions caused by traffic, weather or other factors. They recommend the right restaurant, cafe or gas station at just the right time.

Using the Predictive Learning System to reward driver loyalty with a car that gets better and better the more its driven, manufacturers create powerful incentives that keep drivers attached to their brand.

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Distributed Learning

By distributing computing between the car and the cloud, the Predictive Learning System leverages the best of both environments.

Inside the car the local components make decisions and recommendations as well as collecting data. A secure connection between the cloud and the car syncs data from the car to the cloud and syncs inferences from the cloud to the car. In the cloud, big data analytics techniques churn through the vast amounts of data the car generates.  The Predictive Learning System leverages CloudMade’s Smart Data technologies to provide advanced distributed learning capabilities.

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Private and Secure

CloudMade’s Predictive Learning System uses industry standard encryption technologies to ensure that driver and manufacturer security is maintained. The Predictive Learning System can be configured in a number of different ways, ensuring that particular privacy requirements are met.

Connected Car Content Overview

CloudMade’s Connected Car Content solution lets automotive manufacturers deliver rich, content centric experiences that are deeply integrated into the native HMI. The solution addresses these common connected car problems:

  • Intermittent internet connectivity
  • Expense of internet connectivity
  • Growing consumer appetite for many different types of content
  • Increasingly fragmented content supply chain
  • Need to deploy global solutions
  • Challenge of creating safe, un-cluttered HMIs
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Smart Data

Smart Data Overview

CloudMade’s Smart Data is a distributed learning system that brings contextual relevance to drivers.

It is designed to give both drivers and OEMs actionable insights creating a better mobility experience for drivers and generating significant business insights for OEMs.

Key Features

Key features of Smart Data include:

  • Distributed car-cloud architecture
  • Powerful cloud based inference engine
  • Powerful in-car or on-device prediction engine
  • Fully extendible and customizable by OEM
  • Local in-car inputs from a full range of car sensors, diagnostics and HMI
  • Cloud-based inputs from a range of environmental sources such as weather, traffic and local events
  • User specific inputs from a range of sources including calendars and historic profile
  • Portable cross platform SDKs with out of the box support for Linux, Android, QNX.


Raffaele Schiavullo
the authorRaffaele Schiavullo
ADMINISTRATOR - Senior 3D/Virtual Reality Specialist and Automotive HMI developer - Working in London and "insanely" passionate about technology and its creative applications


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